Create a computer vision system using decision tree algorithms to solve a real-world problem : Hough transform theory

The video tutorial introduces the Hough Transform, a technique in computer vision used to detect lines in images. It explains the mathematical representation of lines using rho and Theta, and how these parameters are used in the Hough Transform. The tutorial transitions from image space to Hough space, demonstrating the voting mechanism for line detection. A practical example is provided, followed by an implementation of the Hough Transform in OpenCV, highlighting its application in detecting lane lines in images.

What new insight or understanding did you gain from this video?